Technical Specialist- ML Data

Responsibilities

• Speed up the initial labeling queue setup process by executing rapid policy iterations and hand-crafting golden datasets (small-scale baseline datasets) to establish quality baselines before launching full-scale operations.
• Provide technical guidance and operational direction to vendor labeling experts to enable rapid policy setup and ensure that the active labeling queues under your purview run smoothly and meet safety and performance objectives.
• Provide critical, detailed inputs on long-tail edge cases and coordinate with regional country specialists to ensure country-specific driving rules and local nuances are accurately captured and validated, ahead of Waymo's deployment in these new countries.
• Monitor labeling pipelines, conduct targeted technical analyses to identify data quality trends, and build/maintain automated data analysis tools to proactively identify improvements in the broader labeling workflow.
• Practical knowledge of dataset curation, labeling pipelines, data quality control metrics, and baseline model evaluation concepts.

Requirements

6+ years of experience

• in data analysis, operations, or program management with a focus on machine learning data annotation, taxonomy design, or human-in-the-loop workflows.
• Experience conducting technical data analyses using pre-established tools (or building simple automation scripts) to diagnose pipeline issues, track vendor quality, and generate actionable insights.
• Comfort working within a dynamic environment, translating vague technical needs into clear documentation, and maintaining a high standard of attention to detail.

Preferred

• Experience with scripting languages (e.g., Python, SQL) or basic automation techniques to parse high volumes of critical data.
• Demonstrated ability in working with a variety of engineering stakeholders to gather requirements, explain models, and iterate to make improvements.
• Prior experience working across multiple geographic locations and managing vendor-hosted operations.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

Translate requirements to policies

Collaborate ML model owners / engineers to understand their specific data goals, translate their ambiguous machine learning requirements into precise labeling instructions, and publish clear, actionable labeling policies (with support from the US based counterparts and vendor partners).

Facilitate cross-functional knowledge sharing

Act as the primary technical interface between requesters and operations, ensuring on-ground dissipation of policies, managing policy amendments, and resolving complex escalations from requestors or vendor teams.

Operational project management

Demonstrated ability to work independently on operational workflows and successfully project manage small sub-working groups or vendor squads.

We prefer

Demonstrated ability to extract, manipulate, and apply machine learning techniques to high volumes of critical, product-related data.

The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

• ₹3,000,000
• ₹3,570,000 INR